Name
Title | ||
|---|---|---|
Water reflection recognition via minimizing reflection cost based on motion blur invariant moments |
Abstract | ||
|---|---|---|
Water reflection, a kind of typical imperfect reflection symmetry problem, plays an important role in image content analysis. However, existing techniques of symmetry recognition cannot recognize water reflection images correctly because of the complex and various distortions caused by water wave. To address this difficulty, we construct a novel feature space which is composed of motion blur invariant moments. Moreover, we propose an efficient detection algorithm to determine the reflection axis in images with water reflection. By experimenting on real image dataset with different tasks, the proposed techniques demonstrate impressive results in the water reflection image classification, the reflection axis detection, and the retrieval of the images with water reflection. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1991996.1992001 | ICMR |
Keywords | Field | DocType |
water reflection recognition,water reflection,real image dataset,water reflection image,reflection axis,image content analysis,typical imperfect reflection symmetry,efficient detection algorithm,water reflection image classification,motion blur invariant moment,water wave,reflection axis detection,water waves,content analysis,image classification,feature space | Reflection symmetry,Computer vision,Reflection (mathematics),Feature vector,Pattern recognition,Computer science,Motion blur,Dispersion (water waves),Invariant (mathematics),Artificial intelligence,Real image,Contextual image classification | Conference |
Citations | PageRank | References |
1 | 0.35 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng-hua Zhong | 1 | 220 | 18.58 |
| Yan Liu | 2 | 181 | 19.10 |
| Ling Shao | 3 | 5424 | 249.92 |
| Fu-lai Chung | 4 | 244 | 34.50 |